Beyond protein lists: AI-assisted interpretation of proteomic investigations in the context of evolving scientific knowledge

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Methods Pub Date : 2024-08-09 DOI:10.1038/s41592-024-02324-4
Benjamin M. Gyori, Olga Vitek
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Abstract

Mass spectrometry-based proteomics provides broad and quantitative detection of the proteome, but its results are mostly presented as protein lists. Artificial intelligence approaches will exploit prior knowledge from literature and harmonize fragmented datasets to enable mechanistic and functional interpretation of proteomics experiments.

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超越蛋白质列表:在科学知识不断发展的背景下,人工智能辅助解读蛋白质组研究。
基于质谱的蛋白质组学可对蛋白质组进行广泛的定量检测,但其结果大多以蛋白质列表的形式呈现。人工智能方法将利用文献中的先验知识,协调零散的数据集,从而实现对蛋白质组学实验的机理和功能解释。
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
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